Statistical Methods for Agricultural Research, E-Book-Indian Council of Agricultural Research

Indian Agricultural Statistics Research Institute
(Indian Council of Agricultural Research)

Statistical Methods for Agricultural Research : E-Book

Compiled and Edited By

Seema Jaggi

Cini Varghese

P.K. Batra

V.K. Sharma

Indian Agricultural Statistics Research Institute

Library Avenue, PUSA, New Delhi–110012

http://www.iasri.res.in

MODULE-1

Statistical Software and Information Systems in Agricultural Research

CONTENTS

1.1 Role of Statistics and Computers in Agricultural Research

1.2 MS-EXCEL: Statistical Procedures

1.3 SPSS: An Overview

1.4 SAS: An Overview

1.5 Data Warehouse and its Applications in Agriculture

1.6 Agricultural Field Experiments Information System

1.7 National Information System on Long Term Fertilizer Experiments

1.8 National Information System on Animal Experiments

1.9 SPBD Release 1.0 – A Statistical Package for Block Designs

1.10 Statistical Package for Factorial Experiments 1.0 : SPFE 1.0

1.11 Statistical Package for Augmented Designs (SPAD)

1.12 Packages for Survey Data Analysis

1.13 SYSTAT

1.14 Statistical Package for Agricultural Research Data Analysis (SPAR 2)

MODULE-2

Statistical Techniques for Agricultural Research

CONTENTS

2.1 Descriptive Statistics and Data Exploration

2.2 Probability and Sampling Distributions

2.3 Tests of Significance

2.4 Nonparametric Tests

2.5 ANOVA and ANCOVA

2.6 MANOVA

2.7 Correlation and Regression

2.8 Time Series Analysis

2.9 Data Reduction Techniques

2.10 Data Classificatory Techniques

MODULE-3

Planning of Agricultural Experiments and Surveys

CONTENTS

3.1 Planning of Agricultural Experiments

3.2 Basic Experimental Designs

3.3 Incomplete Block Designs

3.4 Row-Column Designs

3.5 Multiple Comparison Procedures

3.6 Factorial Experiments

3.7 Confounding in Factorial Experiments and Fractional Factorials

3.8 Groups of Experiments

3.9 Nested Designs

3.10 Split Plot and Strip Plot Designs

3.11 Change-Over Designs

3.12 Response Surface Designs

3.13 Experiments with Mixtures

3.14 Planning and Execution of Sample Surveys

3.15 Overview of Various Sampling Schemes

3.16 Errors in Sample Surveys

3.17 Sampling in Field Experiments

3.18 Crop Area and Production Surveys

3.19 Statistical Techniques in Plant Breeding Experiments

3.20 Estimation of Genetic Parameters

3.21 Mating and Environmental Designs

3.22 Variance Component Analysis

3.23 Use of AMMI Model in Crop Improvement

MODULE-4

Modern Approaches to the Analysis of Agricultural Data

CONTENTS

4.1 Non-linear Regression Models and their Applications

4.2 Forecasting Techniques in Agriculture

4.3 Artificial Neural Networks

4.4 Remote Sensing and GIS Applications in Agriculture

4.5 Statistical Techniques for Spatial Data Analysis

4.6 Geostatistics in Geoinformatics for Managing Spatial Variability

4.7 Spatial Analysis of Experimental Data

4.8 Logit Analysis

4.9 Probit Analysis

4.10 QTL Mapping and its Applications in Crop Plants

4.11 Log_linear Models

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Statistical Methods for Agricultural Research, E-Book-Indian Council of Agricultural Research

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